The Senior Python Engineer will develop and maintain backend systems, optimize high-performance distributed services, and mentor junior engineers while collaborating across teams.
Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game.
We are pioneering play-for-fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free-to-play alternatives to real money gaming.
We are looking for a Senior Python Engineer to own, design, build, and maintain high-performance distributed backend systems serving millions of users. You will be accountable for end-to-end delivery of scalable, reliable, and low-latency solutions using Python, Django, and Kafka.
This role requires full working-hour alignment with Central European Time (CET ±2 hours) to enable daily, real-time collaboration with our Sofia-based team. We are only considering candidates located within this time zone range. Applicants outside CET ±2 hours will not be considered.
What You’ll Do
- Take full ownership of backend services from design through deployment, maintenance, and continuous improvement
- Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django
- Architect distributed systems to support millions of users with low latency and high availability
- Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines
- Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing
- Own critical backend infrastructure components: APIs, data pipelines, message brokers (Kafka), caching
- Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load
- Implement robust testing strategies: unit, integration, and performance tests
- Drive continuous improvement of development processes and system observability (monitoring, logging)
- Participate in on-call rotations and support production issues as needed
What We're Looking For:
- 5+ years of professional Python backend development experience with a proven track record of ownership and successful delivery
- Solid Django experience (not necessarily expert level), with asynchronous programming skills (asyncio)
- Production experience with Apache Kafka
- Strong experience with distributed systems (microservices or similar architecture)
- Experience deploying and managing containerized applications (Docker); Kubernetes experience is a plus
- Familiarity with any cloud provider (AWS preferred)
- Proficient with SQL databases, especially PostgreSQL; NoSQL is a plus
- Experience with CI/CD pipelines and test automation
- Knowledge of monitoring and logging tools (Prometheus, Grafana, or equivalent)
- Strong problem-solving skills and comfort doing code reviews
- Prior experience working with systems supporting 1M+ users is a strong plus
- Comfortable working in Agile teams
- Strong sense of responsibility and commitment to shipping high-quality software
- Willingness to participate in on-call rotations
Nice to Have
- Exposure to event sourcing or CQRS patterns
- Familiarity with frontend technologies (React)
- Knowledge of big data tools (Flink, NiFi)
- Exposure to infrastructure as code tools like Terraform
- Practical knowledge of containerization and orchestration tools like Docker and Kubernetes
- Experience in sports/betting industries
Benefits:
- Fully remote work environment.
- Professional development opportunities in a dynamic, global setting.
- A supportive, collaborative, and knowledge-driven workplace.
- An engaging and challenging role with the freedom to innovate and develop effective solutions.
We are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:
Welcoming and Friendly
We want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike.
Lively and Creative
We respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.
Stimulating and Rewarding
We know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together.
Equal Employment Opportunity Statement
Fliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Join Our Team!
If you're ready to be part of an exciting, innovative, and dynamic team, apply now to help shape the future of sports gaming with Fliff.
IMPORTANT NOTICE: The privacy and security of applicant information is paramount and we take fraud attempts very seriously. Please note that Fliff will never ask for payment or personal financial information during the application process. All of our legitimate job opportunities can be found on our official career site (https://www.getfliff.com/careers). Please be cautious of communications and links that come from non-company email addresses (@getfliff.com), social media messaging platforms or unsolicited phone calls.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Design, build, and operate production-grade AI agents for product workflows. Own architecture, tool/schema design, prompt/instruction artifacts, human-in-the-loop boundaries, integrations with Microsoft 365/Power Platform/AWS, and evaluation/governance. Monitor quality, reduce hallucinations, optimize cost and performance, and iterate based on real usage to improve product operations.
Top Skills:
Ai AgentsAPIsAws BedrockAws EventbridgeAws LambdaAws Step FunctionsCopilot StudioLlmsMicrosoft 365Microsoft GraphPower PlatformPrompt EngineeringRestWebhooks
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills:
Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The Account Executive will drive new customer acquisition and revenue, self-prospecting to build sales pipelines, and collaborating with marketing and sales teams. Responsibilities include understanding customer needs in voice AI, articulating Deepgram's value, and managing existing accounts for upsell opportunities.
Top Skills:
AIAPIsMlSpeech-To-SpeechSpeech-To-TextText-To-Speech
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
